Noise elimination is an important pre-processing step in magnetic resonance (MR) images
for clinical purposes. In the present study, as an edge-preserving method, bilateral filter (BF) …

Software reliability growth models (SRGMs) are universally admitted and employed for
reliability assessment. The process of software reliability analysis is separated into two …

This paper presents an effective parameter estimation approach for software reliability
growth models using gravitational search algorithm. A software reliability growth model is …

Software Reliability Growth Model (SRGM) is a mathematical relation amidst the diverse
attributes of testing as it proceeds, and enables the estimation of the optimal time of release …

Abstract Software Quality Assurance (SQA) is a process in which the quality of software is
assured by adequate software testing techniques that mainly comprise of verification and …

Software quality is very essential function from development during the early life of software
engineering. Software Quality helps to detect errors and potential errors during initial stage …

This research aims to calculate the execution time for software modules, using Particle
Swarm Optimization (PSO) and Parallel Particle Swarm Optimization (PPSO), in order to …

The weighted completeness metrics for metadata use a weighting factor to indicate the
importance of each field. In the case of bibliographic metadata, a common way of …

\This comprehensive reference text discusses nature inspired algorithms and their
applications. It presents the methodology to write new algorithms with the help of MATLAB …

The proposed approach put forward an effective estimation of the parameters for software
reliability growth models with the help of Krill Herd Algorithm. The Software Reliability …